Vision-Integrated Digital Twin for Industrial Manipulator Unloading

In response to the evolution of industrial manufacturing and the rise of intelligent systems, the demand for real-time simulation and robust performance has become critical. This paper introduces a Vision-Integrated Digital Twin (VIDT) designed for the unloading of industrial manipulators. Initially, the paper elaborates on the VIDT framework, which features a decouplable structure, enhancing its adaptability across various application scenarios. Subsequently, the paper proposes an innovative 3D parcel box pose estimation algorithm. This algorithm, which utilizes an RGB-D camera, advanced deep learning techniques, and primitive geometrics, facilitates real-time vision-guided unloading. The paper concludes with experimental results that validate the efficacy of the proposed pose estimation algorithm and the VIDT.

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Publication Details

Published
2024-08-04
DOI
https://doi.org/10.1109/icma61710.2024.10633068
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.00

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article

Vision-Integrated Digital Twin for Industrial Manipulator Unloading

Chen Luo, Zilong Liu, Yijun Zhou, Jianghao Zhou
Digital Transformation in Industry
article

Vision-Integrated Digital Twin for Industrial Manipulator Unloading

Chen Luo, Zilong Liu, Yijun Zhou, Jianghao Zhou
article en

Abstract

In response to the evolution of industrial manufacturing and the rise of intelligent systems, the demand for real-time simulation and robust performance has become critical. This paper introduces a Vision-Integrated Digital Twin (VIDT) designed for the unloading of industrial manipulators. Initially, the paper elaborates on the VIDT framework, which features a decouplable structure, enhancing its adaptability across various application scenarios. Subsequently, the paper proposes an innovative 3D parcel box pose estimation algorithm. This algorithm, which utilizes an RGB-D camera, advanced deep learning techniques, and primitive geometrics, facilitates real-time vision-guided unloading. The paper concludes with experimental results that validate the efficacy of the proposed pose estimation algorithm and the VIDT.

Southeast University (CN)
National Natural Science Foundation of China, Research and Development
Openalex Percentile: Top 82%
Digital Transformation in Industry
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